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The Personal Health Informatics Group at Tampere University studies and develops solutions through data science which aim to personalize care. The technical research areas include mobile health, health monitoring technologies, data mining, decision support systems, machine learning, bio-medical data analysis and interpretation, computational modelling and data visualisation.
COVend collects a wide variety of sources will such as omics, vital signs, and open registry data of the patients receiving FX06 and placebo. Tampere University’s role is to explore this data and apply advanced unsupervised clustering methods to characterize the patients. Based on this characterization, supervised artificial intelligence (AI) will be used to train machine learning models. These models will provide new insights into patient properties and recommend best known, personalised methods to treat the patient.
Project Leader
Research Director, Faculty of Medicine and health Technology in Tampere University
Project Manager
Group Leader of the Research Group Decision Support for Health
Professor of digital healthcare, TAU
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them.
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